| N_sites | N_counts | N_detections | rep_period | iterations | burnin | thin |
|---|---|---|---|---|---|---|
| 127 | 283 | 181 | 7 days | 120000 | 20000 | 10 |
| Yr | 2016 | 2017 | 2018 | 2019 | 2020 |
| sites | 19 | 31 | 19 | 32 | 26 |
| detections | 19 | 39 | 43 | 57 | 23 |
| N.dot.model | 7 | 17 | 19 | 18 | 7 |
| model | description | WAIC | N.total.est |
|---|---|---|---|
| fm7 | counts | 3.962858 | 127 |
| fm2 | jdt | 1116.837448 | 71 |
| fm5 | jdt + jdtSq | 1117.412453 | 73 |
| fm4 | lure + jdt | 1118.211814 | 72 |
| fm6 | lure + jdt + jdtSq | 1118.662959 | 73 |
| fm1 | dot | 1119.959703 | 68 |
| fm3 | lure | 1119.983799 | 70 |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| p[1] | NA | 6368 | 0.113 | 0.108 | 0.06 | 0.16 | 0 | 1.001 |
| p[2] | NA | 4102 | 0.091 | 0.089 | 0.05 | 0.13 | 0 | 1.001 |
| p[3] | NA | 3343 | 0.052 | 0.05 | 0.03 | 0.07 | 0 | 1.001 |
| p[4] | NA | 5495 | 0.091 | 0.087 | 0.06 | 0.12 | 0 | 1.001 |
| p[5] | NA | 7630 | 0.081 | 0.078 | 0.05 | 0.11 | 0 | 1.001 |
| lambda[1] | NA | 6607 | 0.447 | 0.354 | 0.15 | 0.70 | 0 | 1.001 |
| lambda[2] | NA | 3939 | 0.767 | 0.643 | 0.39 | 1.12 | 0 | 1.001 |
| lambda[3] | NA | 3527 | 1.305 | 1.095 | 0.62 | 1.98 | 0 | 1.001 |
| lambda[4] | NA | 7079 | 0.687 | 0.636 | 0.38 | 0.98 | 0 | 1.001 |
| lambda[5] | NA | 8273 | 0.339 | 0.287 | 0.12 | 0.54 | 0 | 1.001 |
| N[107] | NA | 10000 | 0.024 | err | 0.00 | 0.00 | err | err |
| N[12] | NA | 10041 | 0.038 | err | 0.00 | 0.00 | err | err |
| N[72] | NA | 10000 | 0.102 | err | 0.00 | 0.00 | err | err |
| N[21] | NA | 7953 | 1.123 | err | 1.00 | 2.00 | err | err |
| N[20] | NA | 7924 | 1.244 | err | 1.00 | 2.00 | err | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha | jdt | 9422 | -0.170 | -0.153 | -0.31 | -0.04 | 0.14777 | 0.9777 |
| alpha0 | NA | 4910 | -2.524 | -2.528 | -2.73 | -2.31 | 0 | 1.001 |
| lambda[1] | NA | 8915 | 0.581 | 0.491 | 0.24 | 0.91 | 0 | 1.001 |
| lambda[2] | NA | 7599 | 0.815 | 0.743 | 0.47 | 1.14 | 0 | 1.001 |
| lambda[3] | NA | 9506 | 0.927 | 0.832 | 0.52 | 1.30 | 0 | 1.001 |
| lambda[4] | NA | 7941 | 0.772 | 0.719 | 0.43 | 1.06 | 0 | 1.001 |
| lambda[5] | NA | 9235 | 0.330 | 0.288 | 0.13 | 0.51 | 0 | 1.001 |
| N[115] | NA | 10000 | 1.061 | err | 1.00 | 1.00 | err | err |
| N[16] | NA | 9629 | 0.103 | err | 0.00 | 0.00 | err | err |
| N[61] | NA | 10000 | 1.047 | err | 1.00 | 1.00 | err | err |
| N[58] | NA | 10000 | 1.054 | err | 1.00 | 1.00 | err | err |
| N[47] | NA | 9259 | 0.102 | err | 0.00 | 0.00 | err | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha | lure | 9489 | -0.008 | -0.022 | -0.17 | 0.15 | 0.97272 | 0.5296 |
| alpha0 | NA | 5189 | -2.505 | -2.496 | -2.70 | -2.29 | 0 | 1.001 |
| lambda[1] | NA | 9306 | 0.538 | 0.484 | 0.21 | 0.84 | 0 | 1.001 |
| lambda[2] | NA | 8281 | 0.826 | 0.735 | 0.47 | 1.15 | 0 | 1.001 |
| lambda[3] | NA | 9136 | 0.942 | 0.912 | 0.52 | 1.32 | 0 | 1.001 |
| lambda[4] | NA | 8953 | 0.763 | 0.714 | 0.45 | 1.06 | 0 | 1.001 |
| lambda[5] | NA | 8590 | 0.339 | 0.282 | 0.13 | 0.54 | 0 | 1.001 |
| N[46] | NA | 9660 | 1.508 | 1 | 1.00 | 2.00 | 0 | 1.0001 |
| N[83] | NA | 10143 | 0.136 | err | 0.00 | 1.00 | err | err |
| N[47] | NA | 8777 | 0.105 | err | 0.00 | 0.00 | err | err |
| N[5] | NA | 8795 | 1.828 | 2.002 | 1.00 | 3.00 | 0 | 1.0005 |
| N[97] | NA | 9238 | 0.026 | err | 0.00 | 0.00 | err | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha[1] | lureDays | 8616 | 0.067 | 0.077 | -0.11 | 0.24 | 0.8109 | 0.7267 |
| alpha[2] | julianDt | 8670 | -0.191 | -0.213 | -0.35 | -0.05 | 0.12979 | 0.9817 |
| alpha0 | NA | 4975 | -2.521 | -2.491 | -2.74 | -2.33 | 0 | 1.001 |
| lambda[1] | NA | 9012 | 0.602 | 0.497 | 0.23 | 0.93 | 0 | 1.001 |
| lambda[2] | NA | 8585 | 0.829 | 0.786 | 0.49 | 1.17 | 0 | 1.001 |
| lambda[3] | NA | 9022 | 0.927 | 0.863 | 0.53 | 1.32 | 0 | 1.001 |
| lambda[4] | NA | 8191 | 0.774 | 0.736 | 0.47 | 1.08 | 0 | 1.001 |
| lambda[5] | NA | 10000 | 0.325 | 0.272 | 0.12 | 0.51 | 0 | 1.001 |
| N[77] | NA | 10000 | 0.125 | err | 0.00 | 1.00 | err | err |
| N[52] | NA | 10000 | 0.044 | err | 0.00 | 0.00 | err | err |
| N[58] | NA | 10000 | 1.059 | err | 1.00 | 1.00 | err | err |
| N[105] | NA | 10000 | 1.030 | err | 1.00 | 1.00 | err | err |
| N[127] | NA | 9473 | 0.017 | err | 0.00 | 0.00 | err | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha[1] | julianDt | 4659 | 0.094 | 0.106 | -0.12 | 0.35 | 0.89194 | 0.7388 |
| alpha[2] | julianDtSq | 4072 | -0.382 | -0.399 | -0.64 | -0.11 | 0.07627 | 0.9906 |
| alpha0 | NA | 4605 | -2.588 | -2.581 | -2.80 | -2.37 | 0 | 1.001 |
| lambda[1] | NA | 9300 | 0.552 | 0.465 | 0.22 | 0.86 | 0 | 1.001 |
| lambda[2] | NA | 7575 | 0.888 | 0.849 | 0.51 | 1.22 | 0 | 1.001 |
| lambda[3] | NA | 7938 | 0.924 | 0.857 | 0.51 | 1.30 | 0 | 1.001 |
| lambda[4] | NA | 7826 | 0.834 | 0.769 | 0.49 | 1.16 | 0 | 1.001 |
| lambda[5] | NA | 10000 | 0.333 | 0.27 | 0.13 | 0.52 | 0 | 1.001 |
| N[45] | NA | 10000 | 1.674 | 1 | 1.00 | 3.00 | 0 | 1.0003 |
| N[57] | NA | 8748 | 2.367 | 2.002 | 2.00 | 4.00 | 0 | 1.0009 |
| N[126] | NA | 9377 | 0.019 | err | 0.00 | 0.00 | err | err |
| N[32] | NA | 10000 | 0.065 | err | 0.00 | 0.00 | err | err |
| N[59] | NA | 10000 | 0.051 | err | 0.00 | 0.00 | err | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha[1] | lureDays | 5900 | -0.037 | -0.037 | -0.22 | 0.15 | 0.96177 | 0.6223 |
| alpha[2] | julianDt | 3266 | 0.115 | 0.078 | -0.14 | 0.37 | 0.80197 | 0.7626 |
| alpha[3] | julianDtSq | 3316 | -0.401 | -0.399 | -0.68 | -0.13 | 0.07549 | 0.9893 |
| alpha0 | NA | 4247 | -2.593 | -2.585 | -2.80 | -2.37 | 0 | 1.001 |
| lambda[1] | NA | 8777 | 0.545 | 0.475 | 0.22 | 0.86 | 0 | 1.001 |
| lambda[2] | NA | 7738 | 0.881 | 0.84 | 0.51 | 1.23 | 0 | 1.001 |
| lambda[3] | NA | 8437 | 0.918 | 0.885 | 0.53 | 1.30 | 0 | 1.001 |
| lambda[4] | NA | 7867 | 0.831 | 0.771 | 0.49 | 1.15 | 0 | 1.001 |
| lambda[5] | NA | 9498 | 0.339 | 0.276 | 0.13 | 0.53 | 0 | 1.001 |
| N[78] | NA | 10000 | 0.270 | err | 0.00 | 1.00 | err | err |
| N[30] | NA | 9420 | 1.359 | 1 | 1.00 | 2.00 | 0 | 1 |
| N[42] | NA | 9710 | 0.255 | err | 0.00 | 1.00 | err | err |
| N[57] | NA | 8810 | 2.341 | 2.002 | 2.00 | 4.00 | 0 | 1.0009 |
| N[44] | NA | 9480 | 0.360 | 0 | 0.00 | 1.00 | 1 | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha | counts | 8243 | 7.653 | 7.24 | 5.56 | 9.55 | 0 | 1.001 |
| alpha0 | NA | 9596 | -7.163 | -6.841 | -8.80 | -5.59 | 0 | 1.001 |
| lambda[1] | NA | 8812 | 0.975 | 0.808 | 0.34 | 1.54 | 0 | 1.001 |
| lambda[2] | NA | 9695 | 0.982 | 0.907 | 0.56 | 1.36 | 0 | 1.001 |
| lambda[3] | NA | 10000 | 0.991 | 0.957 | 0.53 | 1.41 | 0 | 1.001 |
| lambda[4] | NA | 10000 | 0.988 | 0.94 | 0.55 | 1.40 | 0 | 1.001 |
| lambda[5] | NA | 7503 | 0.964 | 0.794 | 0.34 | 1.53 | 0 | 1.001 |
| N[115] | NA | 0 | 1.000 | err | 1.00 | 1.00 | err | err |
| N[108] | NA | 10000 | 1.000 | err | 1.00 | 1.00 | err | err |
| N[86] | NA | 0 | 1.000 | err | 1.00 | 1.00 | err | err |
| N[99] | NA | 0 | 1.000 | err | 1.00 | 1.00 | err | err |
| N[110] | NA | 10000 | 0.960 | 0 | 0.00 | 2.00 | 1 | err |
## Warning in cor(X, use = "pairwise.complete.obs"): the standard deviation is zero
## Warning: Removed 50 rows containing missing values (geom_bar).
## Warning in cor(X, use = "pairwise.complete.obs"): the standard deviation is zero
## Warning: Removed 50 rows containing missing values (geom_bar).
## Warning in cor(X, use = "pairwise.complete.obs"): the standard deviation is zero
## Warning: Removed 50 rows containing missing values (geom_bar).